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Published directory entries matching your search.
AGENTS.inc provides autonomous AI agents for enterprise marketing, sales and market intelligence, offered as Agents-as-a-Service. Two deployment models are offered: agents hosted and maintained by the company, or deployed into the customer's own infrastructure. The company states its agents are grounded in customer systems of record and that outputs carry source provenance.
Artificial Intelligence: Foundations of Computational Agents, 2nd Edition is a textbook on artificial intelligence focused on computational agents, authored by David L. Poole and Alan K. Mackworth. The full text is freely available online with stable links, and the work is integrated with the open source AIPython pseudocode library.
Building Effective Agents is an Anthropic engineering publication that details the company's approach to developing reliable large language model (LLM) agents. It covers research on agent capabilities, safety considerations, technical frameworks, and practical guidance for developers, noting that simple, composable patterns are more effective than complex frameworks for successful agent implementations. It also references Anthropic's Claude Managed Agents.
A freeCodeCamp handbook for developers on organizing AI agents for real business cases. It covers prerequisites, large language models, definitions of AI agents, and a decision algorithm for creating optimal agents, including checking budget, starting with one agent, and measuring performance. It uses a Google Research, Google DeepMind, and MIT paper as its primary source and code examples in a Google Colab notebook.
The OpenAI Agents SDK is a lightweight Python package for building agentic AI applications with few abstractions. It provides primitives including agents with instructions and tools, handoffs for delegating tasks between agents, and guardrails for validating inputs and outputs. It includes built-in tracing for visualizing and debugging agentic flows. The SDK uses the Responses API by default for OpenAI models and wraps model calls in a higher-level runtime.
Westworld is a multi-agent simulation library for simulating and optimizing systems with multiple interacting agents. Inspired by Unity and Unity ML Agents and adapted in Python, it provides grid environments, agents, obstacles, collectibles and triggers, spawning, simple pathfinding and wandering behaviors, maze generation and simulation visualization and export. The project is described as extremely experimental and in alpha release.
Beam is a platform for agentic automation and AI agents aimed at enterprise operations. It offers an agent hub for managing agents, pre-trained agents, templates and integrations with existing tools, and agents adapt to an organization's standard operating procedures. The platform also lists industry solutions such as a financial services AI suite.
A Botpress-published guide that explains large language model (LLM) agents, including their definition, core features, common types, and improvement techniques, and notes that LLM agents are AI systems for natural language tasks such as customer support and data analysis.
Gali Chat is a platform offering AI agents for business growth, focused on customer support, engagement and lead generation. Its agents are trained on a user's knowledge base, supporting over 50 languages, with a no-code setup process that takes approximately 3 minutes. Users can import knowledge bases from websites, PDF, Word and Excel files. The platform states its agents operate 24/7.
Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
Adapt or Die is a news website focused on AI agents, ecommerce disruption, and shifts in traditional business models. All content is written and posted by AI agents with no human involvement, and the site covers topics including AI, ecommerce, the future of work, startups, and geopolitics.
AgentBench is a multi-dimensional benchmark that consists of 8 distinct environments for evaluating LLMs as autonomous agents in interactive tasks. It assesses reasoning and decision-making abilities in multi-turn open-ended generation, and tests over 25 LLMs including APIs and open-source models.
AgentGPT is a browser-based tool for assembling, configuring, and deploying autonomous AI agents. Users create an agent by adding a name and goal, then deploy it. The page labels the project as beta and lists example agents for research, travel planning, and study planning.
AgentMail is an email provider built for AI agents. It offers real inboxes through an API, allowing users to create, send, receive, and search email messages via a REST API, intended for autonomous agents and agentic workflows. A free tier is available without a credit card.
Discover and explore AI agents for various tasks and industries. Find the perfect AI assistant for your business and personal needs.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Camel Agents is a Hugging Face Space developed by camel-ai that launches an AI agent system capable of concurrent task processing. Users must provide an API key and specify the number of tasks to run at the same time to use the system.
ChatBotKit is a managed platform for building and running AI agents, described as usable from ready-made solutions without code. Agents can run on schedules and triggers, connect to tools, and operate across channels such as Slack, WhatsApp, web widgets and Zendesk. It also offers a Python SDK, integrations and product documentation.
Clawstr is a decentralized social network for AI agents built on the Nostr protocol. AI agents post content using NIP-22 comments on NIP-73 web identifiers labeled with NIP-32 AI tags. Humans can browse and read, but only AI agents can post.
DigitalOcean describes an AI-native cloud platform with a unified stack for agents, inference and cloud infrastructure. Products listed include Managed Agents, Learning Services, Data Services, an Inference Engine with over 75 models, and core cloud services such as Droplets, Kubernetes and App Platform. Harness Runtime is listed starting at $0.0535/hr for durable cloud sandboxes for AI coding agents.
Collection of patterns for experimenting with agents, llm pipelines, and ChainOfThoughtStrategy.
Gumloop is described as a multiplayer AI agent builder that lets people at a company build agents with various AI models and integrations while IT controls access. The site describes building, sharing, optimizing and controlling agents, and lists a Pro plan starting at $37 per month plus custom enterprise pricing.
Katonic AI is a full-stack enterprise platform for building, deploying, and governing AI agents on customer-owned infrastructure, including on-premise, private cloud, and air-gapped environments. It incorporates NVIDIA NeMo guardrails, enforces zero data egress, and provides three core surfaces (Studio, Workroom, Control Room) alongside more than 80 pre-built agents and over 240 governed MCP tool servers.
LangGraph is a low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful AI agents. It provides fine-grained control to combine deterministic hand-coded steps with LLM-driven agentic steps within the same workflow graph, allowing users to build custom agents that meet specific application requirements.
